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flan-t5-small-gss
anamhira/flan-t5-small-gss
flan-t5-small-gss is a machine learning model from anamhira. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Mar 18, 2023
- Updated
- Mar 18, 2023
- SHA
- d253de40
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
flan-t5-small-gss
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0813
- Rouge1: 7.7224
- Rouge2: 5.9202
- Rougel: 7.4878
- Rougelsum: 7.3009
- Gen Len: 9.1892
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 5
- eval_batch_size: 5
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 10
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 33 | 8.4046 | 10.9442 | 6.6413 | 11.3804 | 11.0126 | 10.5946 |
| No log | 2.0 | 66 | 4.2661 | 5.3251 | 1.7316 | 5.3213 | 5.2358 | 7.9730 |
| No log | 3.0 | 99 | 3.5016 | 0.6359 | 0.0 | 0.318 | 0.318 | 3.7838 |
| No log | 4.0 | 132 | 3.1661 | 3.3576 | 2.3166 | 3.0259 | 3.0233 | 6.1351 |
| No log | 5.0 | 165 | 3.0813 | 7.7224 | 5.9202 | 7.4878 | 7.3009 | 9.1892 |
Framework versions
- Transformers 4.27.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Mar 18, 2023
- Updated
- Mar 18, 2023